Jean‐Michel Scherrmann
- Oncology top 1%
- Molecular Biology top 5%
- Pediatrics, Perinatology and Child Health top 1%
- Neurology top 1%
- Cellular and Molecular Neuroscience top 5%
- Co-authors
- Xavier DeclèvesSalvatore CisterninoFrançoise HervéChristophe RousselleNicolae GhineaElisabeth NielFanchon BourassetJamal Temsamani
- Topics
- Drug Transport and Resistance Mechanisms (63 papers)Pharmacological Effects and Toxicity Studies (29 papers)Pharmacogenetics and Drug Metabolism (12 papers)
- Cited by
- NeurologyOncologyPharmacology
- Partner nations
- FranceUnited StatesCanada
In The Last Decade
Jean‐Michel Scherrmann
114 papers receiving 4.9k citations
Peers
Comparison fields: 5 of 132
- Oncology 2.0k
- Molecular Biology 1.6k
- Pediatrics, Perinatology and Child Health 934
- Neurology 652
- Cellular and Molecular Neuroscience 573
Countries citing papers authored by Jean‐Michel Scherrmann
This map shows the geographic impact of Jean‐Michel Scherrmann's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jean‐Michel Scherrmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jean‐Michel Scherrmann more than expected).
Fields of papers citing papers by Jean‐Michel Scherrmann
This network shows the impact of papers produced by Jean‐Michel Scherrmann. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jean‐Michel Scherrmann. The network helps show where Jean‐Michel Scherrmann may publish in the future.
Co-authorship network of co-authors of Jean‐Michel Scherrmann
This figure shows the co-authorship network connecting the top 25 collaborators of Jean‐Michel Scherrmann. A scholar is included among the top collaborators of Jean‐Michel Scherrmann based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jean‐Michel Scherrmann. Jean‐Michel Scherrmann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 41 | |
| 3 | 5 | |
| 4 | 54 | |
| 5 | 10 | |
| 6 | 28 | |
| 7 | 470 | |
| 8 | 116 | |
| 9 | 221 | |
| 10 | 49 | |
| 11 | 26 | |
| 12 | 21 | |
| 13 | 73 | |
| 14 | 93 | |
| 15 | 46 | |
| 16 | 284 | |
| 17 | 44 | |
| 18 | 10 | |
| 19 | 13 | |
| 20 | 49 |
About Jean‐Michel Scherrmann
Jean‐Michel Scherrmann is a scholar working on Oncology, Toxicology and Pharmacology, having authored 114 papers that have together received 5.0k indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (63 papers), Pharmacological Effects and Toxicity Studies (29 papers) and Pharmacogenetics and Drug Metabolism (12 papers). The work is most often cited by research in Neurology (652 citations), Oncology (2.0k citations) and Pharmacology (435 citations). Jean‐Michel Scherrmann has collaborated with scholars based in France, United States and Canada. Frequent co-authors include Xavier Declèves, Salvatore Cisternino, Françoise Hervé, Christophe Rousselle, Nicolae Ghinea, Elisabeth Niel, Fanchon Bourasset, Jamal Temsamani, Françoise Roux and Philippe Clair. Their work appears in journals such as New England Journal of Medicine, Cancer Research and Scientific Reports.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.